CFLib.org – Common Function Library Project

Description:
Generally calculating Inverse norms is via a lookup table. This is very slow and for a lage data set requires alot of static data and a complex look up structure. This is converted to Coldfusion but the mathematics was produced by Peter J. Acklam from: http://home.online.no/~pjacklam/notes/invnorm/

Return Values:
returns inverse of a number

Example:

<!--- number must be > 0 and < 1 --->
<cfset aNumber = 0.04 />
<cfoutput>Inverse Norm of #aNumber# = #inverseNorms(aNumber)#</cfoutput>

Parameters:

Full UDF Source:

/**
 * Calculating the inverse normal cumulative distribution function
 * 
 * @param v      Numeric between 0 and 1 (Required)
 * @return returns inverse of a number 
 * @author Paul Kukiel (kukielp@gmail.com) 
 * @version 0, March 7, 2009 
 */
function inverseNorms(v){
        
        var a1 = -39.69683028665376;
        var a2 = 220.9460984245205;
        var a3 = -275.9285104469687;
        var a4 = 138.3577518672690;
        var a5 = -30.66479806614716;
        var a6 = 2.506628277459239;
        
        var b1 = -54.47609879822406;
        var b2 = 161.5858368580409;
        var b3 = -155.6989798598866;
        var b4 = 66.80131188771972;
        var b5 = -13.28068155288572;
    
        var c1 = -0.007784894002430293;
        var c2 = -0.3223964580411365;
        var c3 = -2.400758277161838;
        var c4 = -2.549732539343734;
        var c5 = 4.374664141464968;
        var c6 = 2.938163982698783;
    
        var d1 = 0.007784695709041462;
        var d2 = 0.3224671290700398;
        var d3 = 2.445134137142996;
        var d4 = 3.754408661907416;
        
        var p_low = 0.02425;
        var p_high = 1 - p_low;
        var q = 0;
        var r = 0;
        var result = 0;
        
        //Rational approximation for lower region
        if((0 lt arguments.v) and  (arguments.v lt p_low)){
            q = sqr(-2*log(arguments.v));
            result = (((((c1*q+c2)*q+c3)*q+c4)*q+c5)*q+c6) / ((((d1*q+d2)*q+d3)*q+d4)*q+1);
        //Rational approximation for central region
        }else{
            if((p_low lte arguments.v) and (arguments.v lte p_high )){
                q = arguments.v - 0.5;
                r = q*q;
                result = (((((a1*r+a2)*r+a3)*r+a4)*r+a5)*r+a6)*q / (((((b1*r+b2)*r+b3)*r+b4)*r+b5)*r+1);
                //Rational approximation for upper region
            }else{
                if((p_high lt arguments.v) and (arguments.v lt 1)){
                    q = sqr(-2*log(1-arguments.v));
                    result = -(((((c1*q+c2)*q+c3)*q+c4)*q+c5)*q+c6) / ((((d1*q+d2)*q+d3)*q+d4)*q+1);
                }
            }
        }
        
        return result;
    }